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Senior Data Engineer - Databricks

Celebal Technologies

Sydney, New South Wales, Australia · Full Time

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Experience
4+ yrs
Salary
—
Openings
1
Posted
13 seconds ago
Work mode
In office
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Job description

Role Overview

We are looking for an experienced Senior Data Engineer skilled in data engineering with a strong focus on Databricks, PySpark, Scala-Spark, and advanced SQL. The position involves working on data pipeline development, migration projects to Databricks Unity Catalog, performance tuning, and orchestration of workflows with modern data tools.

Key Responsibilities

  • Deliver data engineering and analytics projects with a minimum of four years of experience.
  • Lead or participate in at least one migration project to Databricks from platforms like Hadoop, Teradata, Oracle, or Talend.
  • Design, develop, and enhance ETL workflows and data pipelines using Databricks and Apache Spark frameworks.
  • Optimize Spark performance on Databricks for efficient data processing and management.
  • Formulate and validate data delivery for large-scale Big Data initiatives.
  • Collaborate with multiple teams to define and implement robust data solutions that satisfy organizational needs.
  • Perform complex query tuning and optimize data models to improve performance.
  • Orchestrate data workflows using tools such as Databricks Workflow, Azure Data Factory, Apache Airflow, or AWS Glue.
  • Ensure data governance, security, and quality standards are upheld throughout the data lifecycle.

Technical Requirements

  • Advanced proficiency in PySpark and Scala-Spark development.
  • Strong expertise in writing advanced SQL queries for complicated data transformations.
  • Proven track record optimizing Databricks Spark performance in at least three projects.
  • Experience validating data formulations and deliveries specific to Big Data projects.
  • Practical experience with at least two orchestration platforms among Databricks Workflow, Azure Data Factory, Apache Airflow, and AWS Glue.

Preferred Skills and Knowledge

  • Familiarity with major cloud providers like AWS, Azure, or Google Cloud Platform.
  • Understanding of data governance frameworks and security best practices.
  • Additional experience with other Big Data technologies and frameworks is advantageous.

Tools & software

Apache Spark required Apache Airflow required Databricks required
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